A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients

A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients

The aim of this study was to identify the factors associated with sleep disturbances in individuals after a stroke. To systematically identify relevant studies, an extensive search strategy was devised. We conducted comprehensive searches in major electronic databases including PubMed, Embase, PsycI...

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Bibliographic Details
Published in:Curēus (Palo Alto, CA) Vol. 16; no. 3; p. e56578
Main Authors: Mohandas, Pranav, Alomari, Zaid, Arti, Fnu, Alhneif, Mohammad, Alejandra Ruiz, Paula, Ahmed, Alahed K, Wei, Calvin R, Amin, Adil
Format: Journal Article
Language:English
Published: United States Cureus Inc 20-03-2024
Subjects:
Age
Alcohol
Diabetes
Gender
Hypertension
Insomnia
Ischemia
Marital status
Mental disorders
Meta-analysis
Quality of life
Risk factors
Sleep disorders
Stroke
Systematic review
China
predictors
systematic review and meta analysis
stroke
sleep quality
insomnia
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Summary:The aim of this study was to identify the factors associated with sleep disturbances in individuals after a stroke. To systematically identify relevant studies, an extensive search strategy was devised. We conducted comprehensive searches in major electronic databases including PubMed, Embase, PsycINFO, and Cochrane Library. The search was limited to articles published in English between January 1, 2011, and February 10, 2024. Pooled effect estimates, such as odds ratio (OR) or mean difference (MD) along with their confidence interval (CIs), were calculated using random-effects models for categorical variables and continuous variables, respectively. A total of nine studies were included in this meta-analysis. The pooled prevalence of insomnia across the included studies was determined to be 40% (95% CI = 30%-49%), with individual study prevalence ranging from 22% to 72%. A pooled analysis showed that gender demonstrated a statistically significant association with sleep disturbance, with females exhibiting a higher likelihood (OR = 1.49, 95% CI = 1.16-1.91, p = 0.002) compared to males. The National Institutes of Health Stroke Scale (NIHSS) score, a measure of stroke severity, was associated with sleep disturbance (MD = 0.86, 95% CI = 0.56-1.17, p = 0.001), indicating that patients with severe strokes may be more prone to sleep disturbances. These findings underscore the importance of comprehensive evaluation and targeted interventions to address sleep-related issues in stroke patients, particularly those with severe neurological impairment.
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ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.56578